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Prediction of Genetic Factors of Hyperthyroidism Based on Gene Interaction Network

Overview of attention for article published in Frontiers in Cell and Developmental Biology, August 2021
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (82nd percentile)
  • High Attention Score compared to outputs of the same age and source (92nd percentile)

Mentioned by

news
1 news outlet
twitter
2 X users

Citations

dimensions_citation
3 Dimensions

Readers on

mendeley
11 Mendeley
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Title
Prediction of Genetic Factors of Hyperthyroidism Based on Gene Interaction Network
Published in
Frontiers in Cell and Developmental Biology, August 2021
DOI 10.3389/fcell.2021.700355
Pubmed ID
Authors

Fei Shen, Wensong Cai, Xiaoxiong Gan, Jianhua Feng, Zhen Chen, Mengli Guo, Fang Wei, Jie Cao, Bo Xu

X Demographics

X Demographics

The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
As of 1 July 2024, you may notice a temporary increase in the numbers of X profiles with Unknown location. Click here to learn more.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 11 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 11 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 3 27%
Student > Bachelor 1 9%
Other 1 9%
Researcher 1 9%
Unknown 5 45%
Readers by discipline Count As %
Business, Management and Accounting 2 18%
Nursing and Health Professions 1 9%
Agricultural and Biological Sciences 1 9%
Immunology and Microbiology 1 9%
Medicine and Dentistry 1 9%
Other 1 9%
Unknown 4 36%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 10. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 22 November 2022.
All research outputs
#3,181,984
of 23,164,913 outputs
Outputs from Frontiers in Cell and Developmental Biology
#644
of 9,210 outputs
Outputs of similar age
#74,943
of 431,774 outputs
Outputs of similar age from Frontiers in Cell and Developmental Biology
#72
of 1,003 outputs
Altmetric has tracked 23,164,913 research outputs across all sources so far. Compared to these this one has done well and is in the 86th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 9,210 research outputs from this source. They receive a mean Attention Score of 3.4. This one has done particularly well, scoring higher than 92% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 431,774 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 82% of its contemporaries.
We're also able to compare this research output to 1,003 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 92% of its contemporaries.